We are actively looking for passionate, undergraduate students, graduate students, and postdocs to join our group. For all applicants, general knowledge and coding capability in machine learning (e.g regression, classification, etc.) are the minimum requirements and will be evaluated during the interview process. Please contact us following the available directions on this page before you apply so that we can discuss your application. All students are welcome here regardless of race, religion, gender identification, sexual orientation, age, or disability status.

Ph.D./Master's students

I am looking to hire at least two Ph.D./Master's students for my lab. My research focuses on AI and healthcare and the fairness of AI models. Feel free to contact me if you are interested and have a similar background. Please send me the following packages in an email (lalehvector at gmail dot com) with the subject "First".

1. CV
2. transcript (all degrees that applies)
3. school, degree, and GPA (all that applies)
4. the degree that you want to apply for
5. domestic or international student;
6. preferred date to start
7. Up to 3 publications (if applicable)
8. English test result (if applicable)
9. Your expertise out of 100 in a) Machine learning, b) computer vision, c) NLP (please mention if you have published papers as the first author in these areas)

Except for items 1,2, and 7, please make sure to include all other requested information in a numbered order in your email. Unfortunately, due to the volume of emails, I may not reply to all, specifically if it does not match the requirements. Sorry for the inconvenience.

Postdoc

We have openings for postdocs with an exceptional record of publications in AI in healthcare, computer vision, causality, fairness, explainable AI, or medical image analysis. The award holders also can benefit from our top up grants.

Volunteer students

If you are interested to work as a volunteer student in our lab, we may have a limited capacity per semester, please email me (lalehvector at gmail dot com) with the following information:

1. CV
2. Transcript (all applicable)
3. GPA
4. Number of hours per week you can devote to work (at least 20 hours is required)
5. Domestic or international student
6. preferred date to start
7. Your expertise out of 100 in a) Machine learning, b) computer vision, c) NLP (please mention if you have passed courses in these areas with your grade, instructor name, and projects)

Use the subject 'Volunteer Undergrad - Current student@York' if you are an internal student, otherwise only use the subject 'Volunteer'.